Amazon Neptune vs. Tigergraph
A side-by-side comparison based on G2 review data.
| Metric | Amazon Neptune | Tigergraph |
|---|---|---|
| Overall rating | 4.3 | 4.6 |
| Review count | 31 | 11 |
| Ease of use | 9.2 | 7.8 |
| Ease of setup | 8.9 | 7.6 |
| Quality of support | 9.4 | 8.9 |
| Meets requirements | 9.1 | 8.7 |
| NPS | 48.387097 | 81.818182 |
| Small Business | 56.7% | 9.1% |
| Mid-Market | 16.7% | 36.4% |
| Enterprise | 26.7% | 54.5% |
| Total page views | 157 | 127 |
| Total LLM citations | 502 | 1,026 |
Amazon Neptune
Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Property Graph and W3C's RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets.
Tigergraph
TigerGraph is the only scalable graph database for the enterprise. Based on the industry’s first Native and Parallel Graph technology, TigerGraph unleashes the power of interconnected data, offering organizations deeper insights and better outcomes. TigerGraph fulfills the true promise and benefits of the graph platform by tackling the toughest data challenges in real time, no matter how large or complex the dataset.